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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2014-11-23 14:51:23 -0500 |
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| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2014-11-23 14:51:23 -0500 |
| commit | ff79230b49760a37b57590c0b6e9907500486114 (patch) | |
| tree | e2daf2c91eae0d390c6051e492572bac7d1734c7 /notes | |
| parent | 4cc345de263f4d884d21b95612b7dc03ac0ab8e7 (diff) | |
| download | cascades-ff79230b49760a37b57590c0b6e9907500486114.tar.gz | |
notes
Diffstat (limited to 'notes')
| -rw-r--r-- | notes/formalisation.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/notes/formalisation.tex b/notes/formalisation.tex index 66d34d6..c2ba8c0 100644 --- a/notes/formalisation.tex +++ b/notes/formalisation.tex @@ -140,7 +140,7 @@ Note that if $M$ had full column rank, then we could recover $\theta_i$ from $\v $$M \cdot \theta_i + \vec \epsilon = \vec w$$ -We hope to show that we can exploit the sparsity of vector $\theta_i$ to apply common sparse recovery techniques. +We hope to show that we can exploit the sparsity of vector $\theta_i$ to apply common sparse recovery techniques. \section{Independent Cascade Model} |
